Imaging-based methods for lunar dust flux and velocity measurement

Yidan Dai; Bin Xue; Jinyou Tao; Jianfeng Yang

doi:10.1117/12.2687484

6 November 2023 Imaging-based methods for lunar dust flux and velocity measurement

Yidan Dai, Bin Xue, Jinyou Tao, Jianfeng Yang

Proceedings Volume 12921, Third International Computing Imaging Conference (CITA 2023); 129210B (2023) https://doi.org/10.1117/12.2687484
Event: Third International Computing Imaging Conference (CITA 2023), 2023, Sydney, Australia

Abstract

Lunar dust is widely distributed on the lunar surface as tiny particles ranging from 30 nm to 20 μm. Currently, extensive research has been conducted on the physical, chemical, and hazardous properties of lunar dust. However, few studies focused on its motion patterns and related mechanisms. This paper aims to utilize non-contact imaging method for the first time to record and analyze the trajectory and velocity of lunar dust movement. The fundamental principle of this paper is to use a high-sensitivity camera to image the dust particles in the detection area within a certain exposure time, and to obtain the intensity of the scattered light from the particles in the detection area at that exposure time based on the grayscale value. In terms of velocity measurement, the spatial motion trajectory of lunar dust was recorded by the single frame multi-exposure imaging method, and the related algorithm based on gray value distribution of the motion trajectory image was used to calculate its velocity. In considering the small particle size of lunar dust would cause weak light scattering energy, during the construction of the principle prototype, the strong pulse laser technology was used to increase the illumination, and the sCMOS camera with a far-field optical lens was adopted to improve the signal detection sensitivity. The results showed that the prototype can identify particles from 0.3 μm to 20 μm, measure velocity from 1m/s to 100m/s, and the minimum detectable dust concentration is 1000pc/ft³. This study provides technical reserves for lunar dust environment exploration in future lunar exploration projects.

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Yidan Dai, Bin Xue, Jinyou Tao, and Jianfeng Yang "Imaging-based methods for lunar dust flux and velocity measurement", Proc. SPIE 12921, Third International Computing Imaging Conference (CITA 2023), 129210B (6 November 2023); https://doi.org/10.1117/12.2687484

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KEYWORDS

Particles

Quantum particles

Cameras

Image processing

Velocity measurements

Photons

Quantum numbers

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